Automation index
How much of a Landscape architect’s job can AI already do?
A planting plan comes earlier. A garden you can live in that does not die in August do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Landscape architect
24%
AI can already do 24% of this job.
#277 / 633
View rankingLandscape architect
Where the time goes
Task weights are our estimates based on O*NET frequency data, not time shares published by O*NET.
The time saving for each task is estimated separately.
| Task | Share | AI | Points |
|---|---|---|---|
Plan, species and the irrigation.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 44% | +7 |
Works, levels and the tree that will not fit.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 16% | +2.9 |
Soil, climate and not planting what will not last.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Client, maintenance and what they will not water.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
August, the drought and the yes to xeriscape.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
That it is lived in, and not dying in August.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 24% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- planting plans
- species
- garden irrigation
- xeriscape
- works levels
- soil
- garden maintenance
- trees
Sources for this job· O*NET 17-1012.00· ESCO/ISCO 2162
IS WORK OVER?
Prompt engineer
34%
#21 / 633
View rankingPrompt engineer
Where the time goes
Task weights are our estimates based on O*NET frequency data, not time shares published by O*NET.
The time saving for each task is estimated separately.
| Task | Share | AI | Points |
|---|---|---|---|
Design prompts, tools and chains.EstimateNo public source provides a precise figure. This is our estimate. | 24% | 58% | +13.9 |
Evals, datasets and regressions.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 52% | +9.4 |
Integrate with product and safety limits.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Talk to the business about a good output.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Watch hallucinations, bias and cost.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 20% | +2.8 |
Decide what the model gets, and what it does not.EstimateNo public source provides a precise figure. This is our estimate. | 12% | 16% | +1.9 |
| Total | 100% | 34% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Design prompts, tools and chains
- Evals, datasets and regressions
- Integrate with product and safety limits
- Talk to the business about a good output
- Watch hallucinations, bias and cost
- prompt engineer
- ingeniero de prompts
- llm engineer
Sources for this job· O*NET 15-1252.00· ESCO/ISCO 2512